A PCA-based similarity measure for multivariate time series
By Kiyoung Yang, Cyrus Shahabi. ACM International Workshop on Multimedia Databases, 2004
308 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Signal Processing
View Paper: https://www.semanticscholar.org/paper/6a666d955fc9222302dd82914ec250af3feace2e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Rob J Hyndman
- Nikolay Pavlovich Laptev
- Earo Wang
- Vahid Mirjalili
- Angela R. Laird
- Slawek Smyl
- K. Smith‐Miles
- Christoph Bergmeir
In Signal Processing
- Rob J Hyndman
- Nikolay Pavlovich Laptev
- Earo Wang
- Vahid Mirjalili
- Slawek Smyl
- K. Smith‐Miles
- Christoph Bergmeir
- Yanfei Kang
Citations in the corpus
- Large-Scale Unusual Time Series Detection (2015, methodology): “While we focus on our use-case of identifying anomalous servers in a large internet company, we attempt to make our approach general and applicable to other use-cases where finding anomalous time series is critical.”
- ASD-DiagNet: A Hybrid Learning Approach for Detection of Autism Spectrum Disorder Using fMRI Data (2019, background): “Algorithm 1 Computing weight vector for EROS [42] Input: An n × N matrix S , where n is the number of variables for the dataset and N is the number of MTS items in the dataset.”